{"id":"W6943488471","doi":"10.15468/dl.8c2hhb","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Neuroinflammation and Neurodegeneration Mechanisms","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Listing (finance); Range (aeronautics); Order (exchange)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009318348,0.002172297,0.001621257,0.00518521,0.0008972487,0.002407833,0.002863061,0.001971154,0.1195249],"category_scores_gemma":[0.005100646,0.0008275215,0.001199677,0.00913976,0.0004733169,0.001880515,0.002557964,0.001766889,0.1827539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001842325,"about_ca_system_score_gemma":0.002653317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02832412,"about_ca_topic_score_gemma":0.05342479,"domain_scores_codex":[0.9991586,0.0001089918,0.00009982069,0.0002801899,0.0001921666,0.0001602608],"domain_scores_gemma":[0.9981601,0.0004480743,0.0001852938,0.0004711227,0.0004906288,0.000244938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000394718,0.00001126254,0.0004794601,0.0007231507,0.00002202719,0.00001948867,0.00002395182,0.0001620727,0.0001529456,0.0003959622,0.9962867,0.00168341],"study_design_scores_gemma":[0.00008564386,0.000009147585,0.002189049,0.0002513145,0.00001845973,0.00004292638,0.00006750499,0.0001675905,0.0002269082,0.0008074325,0.9961163,0.00001770641],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000409429,0.00003295099,0.00003242507,0.00002633096,0.000008300874,0.00000502877,0.9989692,0.0003608658,0.0005240889],"genre_scores_gemma":[0.0001547654,0.00004057395,0.0001700909,0.00003653037,0.000002495255,0.00003483093,0.9990921,0.0001089877,0.000359639],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8804751,"threshold_uncertainty_score":0.3998505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02637689606673787,"score_gpt":0.2362314207362511,"score_spread":0.2098545246695132,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}